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Record W2598324919 · doi:10.3138/jcfs.39.3.311

The Quest for a Child of One’s Own: Parents, Markets and Transnational Adoption

2008· article· en· W2598324919 on OpenAlexvenueno aff
Riitta Högbacka

Bibliographic record

VenueJournal of Comparative Family Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyIdeal (ethics)SociologyPsychologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Transnational adoption is currently at its peak. The direction of these adoptions is from south to north and from east to west. Scrutiny of previous research shows that there is a discrepancy between the supply and demand of children for adoption. While there are millions of orphans and children in the world needing homes, Western adoptive parents queue for what are considered to be ‘adoptable’ children. Drawing on 15 thematic interviews with Finnish adoptive parents this article considers the reasons behind the recent trend to adopt from abroad, and how parental preferences are formed in individual families. It is shown that adopting is primarily connected to family formation, and is linked to a powerful desire to experience parenthood. Parental preferences are a function of the changing demands and expectations of parenting in general in the West. Adoption from abroad just provides a new way of fulfilling these expectations. The ideal child is a healthy female infant of European or Asian origin that allows the adoptive parents to fulfil and perform their ideal parental roles. On the global level parents’ hopes and anxieties result in the stratification of children in transnational adoption by age, skin colour, health and gender, further escalating the discrepancy between demand and supply.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.122
GPT teacher head0.371
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations39
Published2008
Admission routes1
Has abstractyes

Explore more

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